Yijing Ji | Design | Best Researcher Award

Dr. Yijing Ji | Design | Best Researcher Award

Beijing Polytechnic University | China

Dr. Yijing Ji is a lecturer at Beijing Polytechnic University with a doctoral degree from Cranfield University. Her expertise lies in design, museum and exhibition design, environmental art, human-computer interaction, and artificial intelligence. Her research brings together creative practice and technology, with a strong emphasis on spatial design, visitor experience, and the role of sensory interaction in shaping memory and engagement in exhibition contexts. By investigating how human sensory experiences can be enriched through virtual and HCI technologies, she contributes to innovative approaches in exhibition space design and education. She has been actively involved in several ongoing projects, including agent-based modelling to study the impact of museum design on visitor memory, exploring the acceptance and application of artificial intelligence-generated content in higher education, and developing interdisciplinary STEAM-DT teaching models for cultivating innovative literacy. Her work bridges academia and industry, demonstrated through collaborations with universities in China and the UK, as well as leading exhibition and technology companies. She has contributed to projects such as the design of corporate exhibition halls and branding initiatives, generating significant industry income and fostering knowledge exchange between research and practice. Her scholarly outputs include publications in international journals and conferences, with notable works on immersive technologies, multisensory design, and user experience in exhibition spaces. She has also authored educational materials, including a forthcoming Chinese monograph and a career planning textbook. In recognition of her innovative design work, her team received the Red Dot Design Award in the Artificial Intelligence Concept category for their project on interactive children’s clothing design. Although early in her academic career, Dr Ji has already achieved citations by 2 documents, with 2 documents published and an h-index of 1, reflecting her growing influence in her field. Her contributions position her as an emerging researcher with significant potential to shape the future of design and human-technology interaction.

Profile: Scopus

Featured Publications

Ji, Y. (2025). Exploring AIGC’s acceptance and application in different disciplines from higher education perspective.

Ji, Y. (2025). Mapping the landscape of immersive technologies integrating narrative: Bibliometric insights from CiteSpace. International Journal of Human–Computer Interaction.

Ji, Y. (2024). Multisensory design in memory research: The £1 coin case in the digital era.

Ji, Y. (2024). Design innovation and user experience of sensory interactive experience in museum exhibition space.

Ji, Y. Discovery for design. China Textile & Apparel Press.

Lin Zhu | Image Technology | Best Researcher Award

Ms. Lin Zhu | Image Technology | Best Researcher Award

Shanghai Chest Hospital, China

Dr. Lin Zhu is a postdoctoral researcher and attending doctor at the Radiology Department of Shanghai Chest Hospital, Shanghai Jiaotong University. Her research is centered on radiology and oncology, with a particular emphasis on tumorigenicity, advanced imaging technologies, AI-assisted diagnostic imaging, quantitative image analysis, and molecular nanoimaging in the context of tumor microenvironments. She has published 9 first-author SCI papers and has served as principal investigator (PI) on four funded research projects.

Publication Profile 

Orcid

Educational Background 🎓

  • Doctor of Medicine (Diagnostic and Interventional Radiology)
    Heidelberg University Clinic, Heidelberg University, Germany
    Sept. 2018 – Feb. 2022
    Supervisors: Prof. Dr. Mark O. Wielpütz MHBA and Prof. Hans-Ulrich Kauczor

  • Master of Medicine (Medical Imaging and Nuclear Medicine)
    Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, China
    Sept. 2013 – June 2016
    Supervisor: Prof. Dr. Hong Yu

  • Bachelor of Medicine (Medical Imaging)
    School of Medicine, Southeast University, China
    Sept. 2007 – June 2012

Professional Experience 💼

  • Postdoctoral Researcher
    Shanghai Chest Hospital, Shanghai Jiaotong University, China
    Feb. 2022 – Present

  • Training Radiologist
    Shanghai Changzheng Hospital, Second Military Medical University, China
    Aug. 2016 – July 2018

  • Training Radiologist
    The Fifth People’s Hospital of Shanghai, Fudan University, China
    July 2012 – July 2013

  • Clinical Practice (Internship)
    Zhongda Hospital, Southeast University, China
    June 2011 – June 2012

Research Interests 🔬

  • Tumorigenicity and tumor microenvironment

  • Advanced and AI-assisted imaging techniques

  • Quantitative imaging analysis

  • Molecular nanoimaging for cancer diagnostics

  • Multimodal radiological imaging for lung cancer and lymphoma

  • Imaging biomarkers in oncology

Awards and Honors🏆✨

While specific named awards are not listed, notable professional achievements include:

  • Published 9 SCI-indexed papers as first author

  • Principal Investigator of 4 research projects

  • Speaker at major international conferences, including:

    • European Congress of Radiology (ECR) 2018 & 2020

    • Chinese Congress of Radiology (CCR) 2016 & 2022

Conclusion🌟

Dr. Lin Zhu exemplifies a dynamic and highly accomplished medical imaging expert with extensive international research and clinical experience. Her multidisciplinary approach, combining diagnostic radiology with molecular imaging and artificial intelligence, positions her as a leading researcher in the field of thoracic oncology imaging. Her work bridges foundational biological research with state-of-the-art diagnostic practices, contributing meaningfully to advancements in precision medicine and personalized cancer care.

Publications 📚

  1. 🐭 µCT in Muco-obstructive Lung Disease
    Zhu L., et al.
    American Journal of Physiology – Lung Cellular and Molecular Physiology, 2022, 322(3):L401–L411.
    🔬 Topic: Neutrophil elastase in mouse lung disease


  2. 🫁 MRI vs. CT for Lung Nodule Detection in COPD
    Li Q, Zhu L, et al.
    Radiology: Cardiothoracic Imaging, 2023, 5(2):e220176.
    🧠 Topic: MRI as a diagnostic tool compared to CT


  3. 🧬 miR-629 & Lung Cancer Tumorigenesis
    Zhu L, et al.
    Cancer Biomarkers, 2020.
    🧪 Topic: PI3K/AKT pathway & FOXO1 targeting


  4. 🦠 Primary Pulmonary Lymphoepithelial Carcinoma
    Nie K, Zhu L, et al.
    Journal of Surgical Oncology, 2023.
    🩺 Topic: Rare lung cancer subtype prognosis


  5. 🧫 RasGRP4 in Lymphoma Growth
    Zhu L, et al.
    Cell Communication and Signaling, 2019, 17(1), 92.
    🔬 Topic: Oncogene role in B-cell lymphoma


  6. 🧬 miR-101 and Pancreatic Cancer Suppression
    Zhu L, et al.
    Cancer Biomarkers, 2018, 23(2):301–309.
    🧠 Topic: STMN1 targeting to suppress proliferation


  7. 🩻 Ultrasound/CT + CA125 for Ovarian Tumors
    Zhu L, et al.
    Minerva Medica, 2018, 109(6):489–491.
    🧪 Topic: Combined diagnostic method


  8. 📊 TIMP-2 Expression in Lung Cancer
    Zhu L, et al.
    PLOS ONE, 2015, 10(4):e0124230.
    🔍 Topic: Meta-analysis on tumor prognosis


  9. 🔬 PET/CT in Small Cell Lung Cancer
    Nie K, Zhu L, et al.
    J Med Imaging Radiat Oncol, 2019, 63(1):84–93


  10. 💉 Serum Angiopoietin-Like Protein 2 as Biomarker
    Chen Y, Zhu L, et al.
    Clin Lab, 2017, 63(1):59–65


  11. 🧠 CT Phenotyping in Pulmonary Lymphoma
    Chen Y, Zhu L, et al.
    J Thorac Dis, 2018, 10(11):6040–6049


  12. 🐭 µCT Monitoring of Neutrophil Elastase Deficiency
    Zhu L, et al.
    ECR 2020 – Book of Abstracts, Insights Imaging, 2020, 11(Suppl 1):34


  13. 🧠 Lung Cancer Imaging & Treatment Methods
    Zhu L, et al.
    Int. J. Med. Radiology, 2018, 41(06):641–645


  14. 🧬 String Beads Sign in Small Cell Lung Cancer
    Xiao YX, Zhu L, et al.
    Journal of Practical Radiology, 2016
    🧠 DOI: 10.3969/j.issn.1002-1671.2016.01.001


  15. 🫁 CT Signs of Peripheral Small Cell Lung Cancer
    Xiao YX, Zhu L, et al.
    Journal of Practical Radiology, 2016
    🩻 DOI: 10.3969/j.issn.1002-1671.2016.01.001